SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing
DA Oyeyemi, AK Ojo - arXiv preprint arXiv:2406.06578, 2024 - arxiv.org
In the modern era, mobile phones have become ubiquitous, and Short Message Service
(SMS) has grown to become a multi-million-dollar service due to the widespread adoption of …
(SMS) has grown to become a multi-million-dollar service due to the widespread adoption of …
Spam detection over call transcript using deep learning
A Natarajan, A Kannan, V Belagali, VN Pai… - Proceedings of the …, 2022 - Springer
An increasing volume of malicious spam calls has ushered an urgent need for a system that
can automatically detect them. A robust spam call detection system must identify and block …
can automatically detect them. A robust spam call detection system must identify and block …
[PDF][PDF] SMS Spam Detection Based on Fuzzy Rules and Binary Particle Swarm Optimization.
Over the last decade, the usage of short message services (SMS) as one of the vital
communication services on mobile devices has grown. The growth of using this service has …
communication services on mobile devices has grown. The growth of using this service has …
Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN
E Wijaya, G Noveliora, KD Utami… - 2023 10th …, 2023 - ieeexplore.ieee.org
Short Message Services (SMS) has been most people's habits. The numbers of SMS usage
have been growing rapidly since text messages are more effective than emails. However …
have been growing rapidly since text messages are more effective than emails. However …
A review on artificial intelligence techniques for multilingual sms spam detection
E Ramanujam, K Shankar, A Sharma - International Conference on …, 2022 - Springer
With social networks' increased popularity and smartphone technology advancements,
Facebook, Twitter, and short text messaging services (SMS) have gained popularity. The …
Facebook, Twitter, and short text messaging services (SMS) have gained popularity. The …
A bert model for sms and twitter spam ham classification and comparative study of machine learning and deep learning technique
SS Raga, BL Chaitra - … on recent advances and innovations in …, 2022 - ieeexplore.ieee.org
With the high popularity of online social networks and with the prosperity of the SMS and
Tweets, the increasing number of spam messages has become a severe problem and …
Tweets, the increasing number of spam messages has become a severe problem and …
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis
SMS, or short messaging service, is a widely used and cost-effective communication
medium that has sadly turned into a haven for unwanted messages, commonly known as …
medium that has sadly turned into a haven for unwanted messages, commonly known as …
Spam message detection: a review
SA Chaturvedi, L Purohit - International Journal of Computing …, 2022 - journal.uob.edu.bh
A Message is an information exchanged for personal or business purposes. These
messages are generally targeted by spammers, resulting in forfeits in financial or monetary …
messages are generally targeted by spammers, resulting in forfeits in financial or monetary …
[PDF][PDF] Sentiment Analysis on Tamil Code-Mixed Text using Bi-LSTM.
Sentiment analysis is one of the most researched topics in the computer science domain.
Whenever the term opinion appears, sentiment analysis is required. Many business sectors …
Whenever the term opinion appears, sentiment analysis is required. Many business sectors …
A novel deep learning model-based optimization algorithm for text message spam detection
Mobile texting has increased social engineering assaults like phishing. Because spam, or
unsolicited text messages, spread phishing attempts that steal personal information …
unsolicited text messages, spread phishing attempts that steal personal information …